Ibotta is seeking an Analytics Engineer, Feature Engineering to contribute to the mission to Make Every Purchase Rewarding by providing high-quality, on-time analytics products and services across all business areas and teams within Ibotta.
Requirements
- Working knowledge and some practical experience with some or all of the following: End-to-end analytics automation, data pipelines, ETL/ELT processes, and tools (AWS Glue, DBT, etc.)
- AWS EcoSystem and cloud-based data warehouse and architecture
- Airflow, DataBricks, Git, Monte Carlo
- Multiple languages and frameworks (Python, Scala, strong SQL, Spark, Command Line) highly preferred
- Development in a modern BI/data visualization platform (Looker, Tableau, etc.)
- Event-driven architectures and platforms are a strong plus
Responsibilities
- Collaborate with data scientists to identify and extract relevant features from raw data
- Preprocess and transform data to make it suitable for machine learning models
- Create new features by combining, modifying, or aggregating existing features
- Evaluate the quality of features and assess their impact on model performance
- Monitor feature drift and update features over time to maintain model performance
- Implement and utilize engineering best practices and methods to deploy and maintain quality, curated data sets using Airflow, including automated alerting and anomaly detection into data flows to ensure data quality and integrity
- Optimize pipeline performance for real-time or near-real-time model execution
Other
- Bachelor’s degree in Computer Science, Engineering, Analytics, or a related field required
- 3+ years of practical work experience in a data engineering, machine learning or equivalent experience as an analytics engineer
- Excellent oral and written communication skills
- Applicants must be currently authorized to work in the United States on a full-time basis
- Must live in the United States
